# openai-vision-mcp-server

> openai-vision-mcp-server — ygq-future-openai-vision-mcp-server. Use this tool when you need to analyze images using OpenAI-compatible vision APIs, supporting various input formats such as local files, URLs, and base64. It solves problems related to high-resolution image analysis by utilizing intelligent tiling, and provides a secure and configurable server for structured vision analysis. Ideal for applications requiring automated image understanding, object detection, and classification, with inputs including image files or URLs and outputs being structured analysis results.

Canonical page: https://skillsregistry.net/skills/ygq-future-openai-vision-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ygq-future-openai-vision-mcp-server

## Description

Enables image analysis via OpenAI-compatible vision APIs, supporting local files, URLs, and base64 inputs with intelligent tiling for high-resolution images. Provides a secure, configurable MCP stdio server for structured vision analysis.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tekdbisfjs)
- **Repository:** <https://github.com/ygq-future/openai-vision-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ygq-future-openai-vision-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ygq-future-openai-vision-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ygq-future-openai-vision-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt